Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/9822
Title: Performance Evaluation of Enhanced Least Significant Bit Audio Steganographic Model for Secure Electronic Voting
Authors: Olaniyi, Olayemi Mikail
Folorunso, Talha Abiodun
Abdullahi, Ibrahim Mohammed
Nuhu, B. K.
Abdulsalam, K. A.
Keywords: Confidentiality
Electronic Voting
Audio
Steganography
Integrity
Issue Date: 2015
Citation: Olaniyi, O. M., Folorunso T A, Abdullahi I.M, Nuhu B K, Abdulsalam K A(2015), “Performance Evaluation of Enhanced Least Significant Bit Audio Steganographic Model for Secure Electronic Voting” , Proceedings of 1st International Engineering Conference (IEC 2015), Federal University of Technology, Minna, pp349-359
Abstract: This paper presents performance evaluation of an enhanced Least Significant Bit (LSB) audio steganographic model for secure electronic voting. The enhancement on the traditional LSB audio steganographic technique on the electronic vote was achieved through the hidden of secret information from fourth bit to sixth bit position. The sampled votes were digitally signed to ensure the integrity of the casted votes. The model was evaluated objectively using three quantitative metrics: Embedding capacity of the stego audio file, Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR) of the cover and stego audio. The results of the quantitative evaluation of the model showed that the model was robust and imperceptible for the delivery of transparent and credible secure e-voting of high electoral integrity and confidentiality in developing countries of significant digital divide.
Description: Performance Evaluation of Enhanced Least Significant Bit Audio Steganographic Model for Secure Electronic Voting
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/9822
Appears in Collections:Computer Engineering

Files in This Item:
File Description SizeFormat 
olaniyi et al 2015b.pdfPerformance Evaluation of Enhanced Least Significant Bit Audio Steganographic Model for Secure Electronic Voting483.14 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.